2527 search results - page 140 / 506 » Discrete optimization in computer vision |
156
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
150
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CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
In this paper, we propose a novel linear programming based method to estimate arbitrary motion from two images. The proposed method always finds the global optimal solution of the...
145
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CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Given three or four synchronized videos taken at eye level and from different angles, we show that we can effectively use dynamic programming to accurately follow up to six indivi...
147
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
134
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...